Immerse yourself in the programme that enhances and forms a strong foundation in statistical theories, methodologies, and applications. Statistics equips you with the analytical skills necessary to interpret data, conduct research, and contribute to decision-making processes in various fields such as economics, healthcare, business, and social sciences.

The curriculum in Statistics typically includes a combination of core statistical courses and elective courses tailored to students' interests and career goals. Statistical analysis forms the backbone of data-driven decision-making across various fields. This comprehensive course covers essential concepts and techniques, starting with descriptive statistics to summarize data, and progressing to probability distributions that displays real-world phenomena. Students learn hypothesis testing methods to draw conclusions from data and explore inferential statistics to make predictions. The curriculum delves into fundamental principles of probability theory, providing a solid foundation for understanding more complex statistical concepts.

Practical skills are emphasized through the use of statistical software and programming languages like R, Python, or SAS, enabling students to perform data analysis and create insightful visualizations.The course also explores advanced techniques for analyzing multivariable data, including principal component analysis, factor analysis, and cluster analysis, which are crucial for uncovering patterns in complex datasets

Career scope:-

• Data Analyst
• Biostatistician
• Data Interpreter
• Econometrician
• Lecturer
• Research Analyst